Results 11 to 20 of about 325 (164)
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization.
Fanchao Qi +4 more
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Complex & Intelligent Systems, 2023 Document-level relation extraction is a challenging task in information extraction, as it involves identifying semantic relations between entities that are dispersed throughout a document.
Qihui Zhao, Tianhan Gao, Nan Guo
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Cross-lingual Lexical Sememe Prediction [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 Sememes are defined as the minimum semantic units of human languages. As important knowledge sources, sememe-based linguistic knowledge bases have been widely used in many NLP tasks. However, most languages still do not have sememe-based linguistic knowledge bases.
Fanchao Qi +5 more
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The Molecular Sememe: A Model for Literary Interpretation [PDF]
, 2018 The theory of Molecular Sememics was born of Caldwell’s frustrations with standard theory’s inability to adequately speak to literary criticism. The molecular sememe, understood as a new paradigm for linguistic study, can shed a great deal of light on such an heretofore neglected branch of linguistics.
T. Price Caldwell +2 more
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Short Text Semantic Matching Strategy Fusing Sememe Similarity Matrix and Dual-channel of Char-Word Vectors [PDF]
Jisuanji kexueThe purpose of the short text semantic matching task is to judge whether the semantics of two short text sentences are consistent.However,many existing methods often have shortcomings such as insufficient semantic information of short text and inability ...
LIU Dongxu, DUAN Liguo, CUI Juanjuan, CHANG Xuanwei
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TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction.
Comput Intell Neurosci, 2022 When TextRank algorithm based on graph model constructs graph associative edges, the co‐occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above problems, an improved TextRank keyword extraction algorithm based on rough data reasoning combined with ...
Zhou N, Shi W, Liang R, Zhong N.
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Retrieval of Semantic-Based Inspirational Sources for Emotional Design. [PDF]
Comput Intell Neurosci, 2018 In the conceptual design stage, inspirational sources play an important role in designers’ creative thinking. This paper proposes a retrieval method for semantic‐based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design.
Du J, Li Y, Ma J, Xiong Y, Li W.
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To the description of psycholinguistic meaning of the word
Russian Language Studies, 2014 The article describes a psycholinguistic meaning of a word. On the example of the word kobel’ “a male dog” the author analyzes the problems of describing a psycholinguistic meaning - the place of “false” meanings in the word meaning structure, denoting ...
A V Rudakova
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Metaphor Recognition of English Learners Based on Machine Learning Algorithm
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 The advantage of machine learning algorithm lies in predicting the semantic category of new language features according to the joint probability distribution of existing language features and their semantic categories. Based on a machine learning algorithm, this paper studies the metaphor recognition of English learners.
Xiaoling Fu, Xin Ning
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Corpus‐Based Data Acquisition and Topic Analysis of Chinese‐Related Public Opinion in Western Media
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 This paper sorts out and discusses the different methods used in the analysis of China‐related public opinion, builds a theoretical system of public opinion analysis methods on this basis, conducts case analysis and research on hot public opinion combined with corpus, and selects the semantic analysis method from the technical level supporting the ...
Xiulian Zhao, Kalidoss Rajakani
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